何旭明
发布时间:2024-12-30浏览次数:522
1.
Ning S(宁珊);Qiu LT(邱龙田);Liu YF(刘永飞);He XM(何旭明);#,
HOICLIP: Efficient Knowledge Transfer for HOI Detection with Visual Linguistic Model,
PROCEEDINGS OF THE IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION,
2023,
2.
Gao ZT(郜之桐);Chen YC(陈昱聪);Zhang CY(张楚瑜);He XM(何旭明);#,
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts,
THE ELEVENTH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (ICLR 2023),
2023,
3.
Gao ZT(郜之桐);Yan SP(颜世鹏);He XM(何旭明);#,
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation,
THIRTY-SEVENTH CONFERENCE ON NEURAL INFORMATION PROCESSING SYSTEMS,
Sep 2023,
36:45150-45171
4.
Shan Ning;Longtian Qiu;Yongfei Liu;Xuming He;#,
HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models,
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR),
17 Jun 2023,
2023-June:23507-23517
5.
Li, Rongjie;Wu, Yu;He, Xuming;#,
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning,
PROCEEDINGS OF THE IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION,2024,
Jun 2024,
6.
Rongjie Li;Songyang Zhang;Dahua Lin;Kai Chen;Xuming He;#,
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models,
IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION(CVPR),
Jun 2024,
7.
Qiu, Longtian;Ning, Shan;He, Xuming;#,
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training,
PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE,
25 Mar 2024,
38(5):4605-4613
8.
Zhang, Yue;Lin, Xiaoyu;Zhai, Wenbo;Shen, Yanran;Chen, Shaojie;Zhang, Yining;Yu, Yi;He, Xuming;Liu, Wei;#,
Machine Learning on Microstructure-Property Relationship of Lithium-Ion Conducting Oxide Solid Electrolytes,
NANO LETTERS,
2024,
24(17):5292-5300
9.
Zhang, Chuyu;Ren, Hui;He, Xuming;#,
P2OT: PROGRESSIVE PARTIAL OPTIMAL TRANSPORT FOR DEEP IMBALANCED CLUSTERING,
12TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2024,
2024,